We investigate the contributions of properties that we consider for constructing the heterogeneous graph.
We apply different kinds of properties sequentially with our GraphCache on the LUKE model.
The results are presented in tab:components.
Our entity type nodes improve the effectiveness of LUKE by modeling the entity information globally on the dataset level to enrich the semantics of every sentence.
This finding is consistent with [1]}, suggesting that the entity information can provide richer information to improve RE.
Furthermore, the contextual topics lead to more significant improvements than the entity types, since the contextual information is fundamental for identifying the relations.
